Collective Multi-Agent Navigation Model Based on Bacterial Quorum Sensing

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Autor principal: Edwar Jacinto Gómez
Formato: Artículo científico
Lenguaje:en
Publicado: Universidad Distrital Francisco José de Caldas 2016
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author Edwar Jacinto Gómez
author_facet Edwar Jacinto Gómez
contents Collective Multi-Agent Navigation Model Based on Bacterial Quorum Sensing Edwar Jacinto Gómez Mauricio Giral Fredy Hernán Martínez Sarmiento Ingeniería quorum sensing intensity gradient collective navigation We present a model for the study, analysis, design and evaluation of collective multi-agent navigation for autonomous robots based on behaviors observed in bacteria. The system consists of a set of simple agents (artificial bacteria), which through readings and local interaction are self-organized to navigate along the environment. Given the parallel structure, also happens to be a very robust solution. We show the basic structure proposal for the design abstrac-ting the characteristics of the biological model, to-gether with an analysis of stability and convergence. 2016 artículo científico 0123-921X https://www.redalyc.org/articulo.oa?id=257044050002 https://www.redalyc.org/journal/2570/257044050002/ https://www.redalyc.org/journal/2570/257044050002/html/ https://www.redalyc.org/journal/2570/257044050002/257044050002.epub https://www.redalyc.org/journal/2570/257044050002/movil en http://www.redalyc.org/revista.oa?id=2570 Tecnura application/pdf Universidad Distrital Francisco José de Caldas Tecnura (Colombia) Num.47 Vol.20
format Artículo científico
id redalyc_257044050002
institution Redalyc
language en
publishDate 2016
publisher Universidad Distrital Francisco José de Caldas
spellingShingle Collective Multi-Agent Navigation Model Based on Bacterial Quorum Sensing
Edwar Jacinto Gómez
Ingeniería
quorum sensing
intensity gradient
collective navigation
Collective Multi-Agent Navigation Model Based on Bacterial Quorum Sensing Edwar Jacinto Gómez Mauricio Giral Fredy Hernán Martínez Sarmiento Ingeniería quorum sensing intensity gradient collective navigation We present a model for the study, analysis, design and evaluation of collective multi-agent navigation for autonomous robots based on behaviors observed in bacteria. The system consists of a set of simple agents (artificial bacteria), which through readings and local interaction are self-organized to navigate along the environment. Given the parallel structure, also happens to be a very robust solution. We show the basic structure proposal for the design abstrac-ting the characteristics of the biological model, to-gether with an analysis of stability and convergence. 2016 artículo científico 0123-921X https://www.redalyc.org/articulo.oa?id=257044050002 https://www.redalyc.org/journal/2570/257044050002/ https://www.redalyc.org/journal/2570/257044050002/html/ https://www.redalyc.org/journal/2570/257044050002/257044050002.epub https://www.redalyc.org/journal/2570/257044050002/movil en http://www.redalyc.org/revista.oa?id=2570 Tecnura application/pdf Universidad Distrital Francisco José de Caldas Tecnura (Colombia) Num.47 Vol.20
title Collective Multi-Agent Navigation Model Based on Bacterial Quorum Sensing
topic Ingeniería
quorum sensing
intensity gradient
collective navigation
url https://www.redalyc.org/articulo.oa?id=257044050002
https://www.redalyc.org/journal/2570/257044050002/
https://www.redalyc.org/journal/2570/257044050002/html/
https://www.redalyc.org/journal/2570/257044050002/257044050002.epub
https://www.redalyc.org/journal/2570/257044050002/movil